The Ava bracelet for collection of fertility and pregnancy data in free-living conditions: An exploratory validity and acceptability study

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  • Objective To evaluate the validity and acceptability of the Ava bracelet for collecting heart rate, sleep, mood, and physical activity data among reproductive-aged women (pregnant and nonpregnant) under free-living conditions. Methods Thirty-three participants wore the Ava bracelet on their non-dominant wrist and reported mood and physical activity in the Ava mobile application for seven nights. Criterion validity was determined by comparing the Ava bracelet heart rate and sleep duration measures to criterion measures from the Polar chest strap and ActiGraph GTX3 + accelerometer. Construct validity was determined by comparing self-report measures and the heart rate variability ratio collected in the Ava mobile application to previously validated measures. Acceptability was evaluated using the modified Acceptability of Health Apps among Adolescents Scale. Results Mean absolute percentage error was 11.4% for heart rate and 8.5% for sleep duration. There was no meaningful difference between the Ava bracelet, ActiGraph, and construct a measure of sleep quality. Compared to construct measures, Ava bracelet heart rate variability had a significant low negative correlation (r:−0.28), mood had a significant low positive correlation (r : 0.39), and physical activity level had a significant low (rlevel of physical activity: 0.56) to moderate positive correlation (rMET−minutes/week: 0.71). The acceptability of the Ava bracelet was high for fertility and low for pregnancy tracking. Conclusion Preliminary evidence suggests the Ava bracelet and mobile application estimates of sleep and heart rate are not equivalent to criterion measures in free-living conditions. Further research is needed to establish its utility for collecting prospective, subjective data throughout periods of preconception and pregnancy.
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  • Article
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  • In Copyright
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  • SAGE Publications Ltd, unless otherwise noted. Manuscript content on this site is licensed under Creative Commons Licenses
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  • Attribution-NonCommercial-NoDerivatives 4.0 International
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  • Digital Health
Journal volume
  • 8
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  • University of North Carolina at Chapel Hill
  • Innovate Carolina
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  • 2055-2076
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  • 2022
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  • SAGE Publications

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